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Risk factors and prediction models for venous thromboembolism in ambulatory patients with lung cancer
Citation
Yan, A-R and Samarawickrema, I and Naunton, M and Peterson, GM and Yip, D and De Rosa, S and Mortazavi, R, Risk factors and prediction models for venous thromboembolism in ambulatory patients with lung cancer, Healthcare, 9, (6) pp. 1-13. ISSN 2227-9032 (2021) [Refereed Article]
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DOI: doi:10.3390/healthcare9060778
Abstract
Venous thromboembolism (VTE) is a significant cause of mortality in patients with lung
cancer. Despite the availability of a wide range of anticoagulants to help prevent thrombosis,
thromboprophylaxis in ambulatory patients is a challenge due to its associated risk of haemorrhage.
As a result, anticoagulation is only recommended in patients with a relatively high risk of VTE.
Efforts have been made to develop predictive models for VTE risk assessment in cancer patients, but
the availability of a reliable predictive model for ambulate patients with lung cancer is unclear. We
have analysed the latest information on this topic, with a focus on the lung cancer-related risk factors
for VTE, and risk prediction models developed and validated in this group of patients. The existing
risk models, such as the Khorana score, the PROTECHT score and the CONKO score, have shown
poor performance in external validations, failing to identify many high-risk individuals. Some of the
newly developed and updated models may be promising, but their further validation is needed.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | venous thromboembolism, lung cancer, thromboprophylaxis, anticoagulant, risk prediction, risk assessment, risk model, prediction rules, risk factors |
| Research Division: | Biomedical and Clinical Sciences |
| Research Group: | Cardiovascular medicine and haematology |
| Research Field: | Haematology |
| Objective Division: | Health |
| Objective Group: | Clinical health |
| Objective Field: | Prevention of human diseases and conditions |
| UTAS Author: | Naunton, M (Dr Mark Naunton) |
| UTAS Author: | Peterson, GM (Professor Gregory Peterson) |
| ID Code: | 145047 |
| Year Published: | 2021 |
| Deposited By: | Pharmacy |
| Deposited On: | 2021-06-28 |
| Last Modified: | 2021-06-28 |
| Downloads: | 0 |
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